Research article Special Issues

Identification of 10 differently expressed lncRNAs as prognostic biomarkers for prostate adenocarcinoma

  • Received: 19 April 2019 Accepted: 05 September 2019 Published: 24 December 2019
  • Prostate adenocarcinoma (PRAD) is one of the most frequently diagnosed cancer in males. Previous studies had demonstrated long non-coding RNAs (lncRNAs) played crucial roles in human cancers. In present study, we reported ten disease-free survival time related lncRNAs in PRAD, including RP11-468E2.5, GS1-393G12.13, CTD-2228K2.7, RP11-783K16.13, RP11-631N16.4, CTC-435M10.12, RP11-1109F11.5, RP11-228B15.4, RP11-496I9.1, and RP11-95O2.5. Higher expression of these lncRNAs significantly correlates to shorter DFS time in patients with PRAD. We next constructed lncRNAs regulating PPI networks in PRAD. Bioinformatics analysis revealed these DFS-related lncRNAs were associated with the regulation of cell cycle, glucose metabolic process, histone modification, and RNA splicing. AR and SPOP were identified to be involved in regulating these lncRNAs expression in PRAD. The prognostic value and molecular functions of these lnRNAs in human diseases remained largely unknown. We thought this study for the first time demonstrated that they could act as novel potential biomarkers for PRAD.

    Citation: Ziyu Wu, Sugui Wang, Qiang Li, Qingsong Zhao, Mingming Shao. Identification of 10 differently expressed lncRNAs as prognostic biomarkers for prostate adenocarcinoma[J]. Mathematical Biosciences and Engineering, 2020, 17(3): 2037-2047. doi: 10.3934/mbe.2020108

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  • Prostate adenocarcinoma (PRAD) is one of the most frequently diagnosed cancer in males. Previous studies had demonstrated long non-coding RNAs (lncRNAs) played crucial roles in human cancers. In present study, we reported ten disease-free survival time related lncRNAs in PRAD, including RP11-468E2.5, GS1-393G12.13, CTD-2228K2.7, RP11-783K16.13, RP11-631N16.4, CTC-435M10.12, RP11-1109F11.5, RP11-228B15.4, RP11-496I9.1, and RP11-95O2.5. Higher expression of these lncRNAs significantly correlates to shorter DFS time in patients with PRAD. We next constructed lncRNAs regulating PPI networks in PRAD. Bioinformatics analysis revealed these DFS-related lncRNAs were associated with the regulation of cell cycle, glucose metabolic process, histone modification, and RNA splicing. AR and SPOP were identified to be involved in regulating these lncRNAs expression in PRAD. The prognostic value and molecular functions of these lnRNAs in human diseases remained largely unknown. We thought this study for the first time demonstrated that they could act as novel potential biomarkers for PRAD.


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